Spinnaker Analytics builds powerful predictive algorithms to engineer our clientsâ growth. We combine data science with pragmatic business experience to develop advanced yet intuitive solutions for our clients, simplifying decision making and accelerating results.

Profile Overview:We are searching for a MLOps engineer to join our growing data science team! In this role, you will develop, deploy, and maintain models in the client’s IT environment. You will collaborate with cross-functional teams (Data Scientists, Cloud Engineers, IT, etc.).&nbsp;&nbsp;Responsibilities:<ul><li>Work closely with US stakeholders (Analytics, Business, IT) to understand modeling requirements and translate them into effective deployment solutions.</li><li>Collect, clean, and pre-process data from various sources to ensure accuracy and completeness.</li><li>Deploying and maintaining machine learning models on Azure, including setting up Azure Machine Learning workspaces, managing Azure Databricks clusters, and using Azure DevOps for CI/CD pipelines.</li><li>Develop technical schematics to support deployments.</li><li>Develop data pipelines and automation processes with Azure Data Factory.</li><li>Design, develop, and implement machine learning algorithms (e.g., linear regression, decision trees, random forests, and deep learning) to solve specific business challenges. This involves selecting appropriate algorithms, tuning hyperparameters, and training and evaluating models to achieve optimal performance.</li><li>Co-ordinate with IT to ensure timely and effective deployment and maintenance of ML models.</li><li>Perform rigorous statistical modeling and analysis to uncover relationships and trends within the data.</li><li>Develop and deploy robust APIs using FastAPI to integrate machine learning models into applications.</li><li>Monitor and manage the performance and scalability of deployed models and applications on Azure.</li><li>Document the findings and recommendations clearly and concisely.&nbsp;</li></ul> Skills:<ul><li>Programming: Python (Pandas, Scikit-Learn, FastAPI)</li><li>Data Analysis: Statistical Understanding, Hypothesis Testing, and EDA Proficiency.</li><li>Machine Learning: Familiarity with algorithms like linear regression, decision trees, and random forests.</li><li>Version Control: Manage projects with Git (or similar)</li><li>Data Wrangling: Master of Data Cleaning, Manipulation, and Transformation (Pandas)</li><li>Azure: Deploying machine learning applications</li><li>Communication: excellent written and verbal communication for seamless collaboration with US Clients.</li></ul> Qualifications:<ul><li>2-3 years of experience in developing, deploying, and maintaining ML Models in production environments (MLOps Engineer or similar role) </li><li>Experience in software development, particularly with Python and FastAPI preferred.</li><li>Hands-on experience with Azure for machine learning tasks, including deploying and managing applications and solutions.</li><li>Ability to think critically and solve problems creatively.</li><li>Strong attention to detail and a commitment to data quality.</li><li>Knowledge of insurance and financial services a plus.</li><li>Communication experience with US clients and PowerPoint a plus.</li></ul>

Job Title: Data/ ML-Ops EngineersLocation: Andheri Company Overview:Spinnaker Analytics is a leading predictive analytics and artificial intelligence company headquartered in Boston, USA, with a global presence. We specialize in building predictive models and algorithms to solve critical business challenges across various industries. Leveraging predictive analytics, AI, machine learning, and deep domain expertise, we develop innovative analytic products and decision-making tools. For more information, visit ww.spinnakeranalytics.com. Profile OverviewWe're seeking talented Data/ML-Ops Engineers to join our team. In this role, you'll play a key part in the data lifecycle, transforming raw data into valuable insights for data analysis and machine learning projects. You'll design and build data pipelines, ensuring data quality and collaborating closely with data scientists and business users. Responsibilities• Analyze raw data, identify and address quality issues (completeness, duplicates, outliers) using SQL, Python libraries (Pandas, NumPy), and other data manipulation tools.• Design, develop, and maintain data pipelines for data extraction, transformation, and loading (ETL)• Perform data integrity checks and automate manual data processes for efficiency.• Utilize statistical analysis and data visualization methods to explore data and prepare it for modelling.• Deliver data sets in formats suitable for machine learning algorithms used by data scientists.• Collaborate with data scientists and business users to understand data structures, variables, and systems.• Troubleshoot data-related technical issues with data analysts and business teams.• Define user access and ensure data distribution to the right users in the appropriate format and timeframe. Technical Skills &amp; Requirements • Essential:✓ 3+ years of experience in data manipulation and wrangling for analytics.✓ Proficiency in SQL (including stored procedures) or NoSQL databases.✓ Strong understanding of data structures and design principles.✓ Experience with Python libraries for data manipulation (Pandas, NumPy, etc.)✓ Experience with Azure cloud tools like Azure Data Factory, Synapse, etc. and the medallion lake house architecture.✓ Experience in containerizing solutions for CI/CD (Continuous Integration/Continuous Deployment) flows using Azure Containers, Kubernetes, Docker etc. • Desirable:✓ Certification in MS SQL or a similar data warehousing or data management solution (SSIS/SSRS/SSAS).✓ Familiarity with cloud platforms (AWS, GCP, Azure) a plus.✓ Experience with data warehousing concepts and tools.✓ Knowledge of data version control systems (e.g., Git).Soft Skills✓ Excellent collaboration skills to work effectively with data scientists, analysts, and business users.✓ Positive and proactive approach to problem-solving.✓ Strong communication skills to explain technical concepts to non-technical audiences.

About the company: Spinnaker Analytics is a predictive analytics and artificial intelligence company headquartered in Boston, US with offices across the globe. We build prediction models and algorithms to solve high priority business problems. Working across multiple industries, we have designed and developed breakthrough analytic products and decision making tools by leveraging predictive analytics, AI, machine learning, and deep domain expertise. Please visit www.spinnakeranalytics.com for more details. &nbsp;Job Summary&nbsp;We are seeking a motivated and detail-oriented Research Executive to join our dynamic research team. As a Research Executive you will be responsible for conducting in-depth research, collecting and analyzing data, and providing valuable insights to support business decision-making. This is an excellent opportunity for early-career professionals to develop their research skills and contribute to meaningful projects. &nbsp;Job Duties ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct comprehensive research using primary and secondary sources.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Analyze data and present findings clearly.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Prepare reports and presentations for stakeholders.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Stay updated on market and industry trends.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with cross-functional teams.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ensure data accuracy through quality control.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Deliver effective presentations to non-technical stakeholders.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Manage multiple research projects and meet deadlines.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in client meetings and calls.Requirements·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong analytical and critical thinking skills. ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent written and verbal communication skills. ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Ability to work independently and as part of a team. ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Detail-oriented with strong organizational skills. ·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Basic knowledge of research methodologies and data collection techniques.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;A passion for learning and staying updated on industry trends&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;<h3>Qualifications: </h3>Bachelor's degree in engineering, mathematics, business/economics, or related sciences. Experience:Fresher’s /0-1 years of work experience Location: Andheri (Mumbai), India

Responsibilities: <ul><li>Build end to end Solutions that identify sentiment, intent, and other features from unstructured text data particularly from chat and call transcript. </li><li>Design NLP architecture for bots and automation applications. </li><li>Find and implement the right algorithms and tools for NLP applications.</li><li>Train, Test and Deploy models in the cloud (AWS/Azure/GCP). </li><li>Basic logical pseudo code writing. </li><li>Build models related to text, image and audio for a variety of problems.</li><li>Work with the engineering team to deploy models in production &amp; validate the models.</li></ul> Required skills: <ul><li>Experience of design, building and deployment of NLP models in industry. </li><li>Proficient in Python &amp; SQL. </li><li>Experience in NLP tools like Hugging Face, Gensim, spaCy, Stanford NLP, BERT/ELMO. </li><li>Understanding of NLP techniques for text representation, semantic extraction techniques, data structures and modelling. </li><li>Deep understanding of text representation techniques (such as n-grams, bag of words, sentiment analysis, etc), statistics and classification algorithms. </li><li>Experience on NLP, NLU, NLG is a Big Plus. ▪ Hands on with Deep learning frameworks like Keras, Pytorch, Tensorflow. ▪ Knowledge of Python packages and tools, particularly those developed for NLP techniques. </li><li>Experience with text, image analytics, NLP, Entity Extraction, Text Mining Algorithms. ▪ Must be a proficient python programmer.&nbsp;</li></ul> Experience: Min. 4 years of Work experience as a Data Scientist. Min. 2 year of Work experience in Natural Language Processing. Desired Candidate Profile: ▪ Immediate joining ▪ Excellent English communication and presentation skills, both verbal and written ▪ Charismatic, competitive and enthusiastic personality with negotiation skills ▪ Excellent interpersonal and customer-facing skills

Company Overview Spinnaker Analytics is a leading provider of predictive analytics solutions. We combine data science with practical business experience to help our clients make informed decisions and achieve rapid growth. With a workforce of 51-200 employees, we are committed to delivering innovative and intuitive solutions that simplify decision-making and drive results. Job Overview Essential Functions• Collaborating with peers to design, install, configure, optimize, administer, and&nbsp;support Microsoft Cloud Technologies• Act as a liaison between the Server Engineering and Information Security&nbsp;Teams to support security initiatives and implementation of defined policies• Interact with vendors for quotes, support, new technologies, and vendor&nbsp;relationship tasks.• Document Standard Operating Procedures for the team to follow and share&nbsp;ideas and concepts with technology leaders on best practices and server&nbsp;policies.• Maintain and communicate project plan and status updates proactively.• Complete other projects and duties as assigned. Required Experience • Minimum 4 years of technical experience in an IT operations role.• 3 Years of Microsoft Azure cloud operations experience• Understanding of Azure Access control (IAM) and role-based access.• Advanced working knowledge of Windows Server and Active Directory/Azure&nbsp;AD.• Experience working with Azure storage - Blobs and Files.• Skilled with Cloud-based Networking concepts.• Familiarity with command line tools such as PowerShell, AZCli or kubectl.• Understanding of monitoring in Azure - Azure Monitor, Log Analytics, etc.• Extremely motivated with a strong desire to deliver consistent &amp; exceptional&nbsp;results in an exciting and growing company.• Candidate should be accustomed to the concepts of “Sense of Urgency”, “Duty&nbsp;to Communicate,” and “Accountability”.• Excellent communication skills with proven ability to communicate effectively&nbsp;in both written and oral communication.• The ability to see the “big picture” and scope requirements to the&nbsp;organization's direction.Preferred Skills &amp; Education• AZ-500 Certification or other related certifications• Experience with Microsoft Defender: Endpoint, Office 365, Identity, Cloud&nbsp;Apps, Vulnerability Management• Experience managing a hybrid cloud environment.• Advanced with PowerShell scripting experience a plus.