Product Manager

We are looking for a talented and driven Data Scientist to join our growing Analytics team in India. In this role, you will work at the intersection of advanced machine learning, scalable MLOps infrastructure, and domain-specific healthcare analytics. You will collaborate closely with cross-functional teams to build, deploy, and maintain production-grade ML models that drive real-world impact in clinical trials and healthcare operations.

KEY RESPONSIBILITIES

End-to-End ML Development

•     Design, build, and optimize predictive models across the full ML lifecycle—from data ingestion to model serving.

•     Conduct rigorous Exploratory Data Analysis (EDA) to surface insights and drive feature engineering decisions.

•     Validate model performance using appropriate statistical techniques and domain knowledge.

MLOps & Production Deployment

•     Deploy, monitor, and maintain production-grade ML models using Databricks MLFlow endpoints and Unity Catalog.

•     Implement CI/CD pipelines for model versioning, experiment tracking, and automated retraining.

•     Ensure model reliability, observability, and performance in live production environments.

Language Models & LLM Applications

•     Apply transformer-based models (BERT, ClinicalBERT, Trial2Vec) for NLP tasks including classification, NER, and information extraction.

•     Build and maintain vector similarity search pipelines for semantic retrieval and recommendation use cases.

•     Fine-tune pre-trained models for domain-specific applications in clinical and healthcare contexts.

•     Support exploratory work around LLM integration and prompt engineering for internal tooling.

Domain-Driven Analytics

•     Apply advanced analytics within complex healthcare and clinical trial datasets—including patient records, trial protocols, and adverse event data.

•     Translate ambiguous business problems into structured analytical frameworks with measurable outcomes.

•     Partner with domain experts, product managers, and engineering teams to deliver data-driven solutions.

REQUIRED QUALIFICATIONS

Education

•     Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, Bioinformatics, or a closely related field.

Experience

•     2–4 years of hands-on experience in a data science or machine learning role.

•     Demonstrable experience deploying ML models in production environments (not just prototyping).

Technical Skills

•     Strong proficiency in Python (pandas, NumPy, scikit-learn, PyTorch / TensorFlow).

•     Experience with Databricks, MLFlow (experiment tracking, model registry, endpoints), and Unity Catalog.

•     Hands-on experience with BERT-family models and Hugging Face Transformers library.

•     Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embedding-based retrieval.

•     Solid understanding of SQL and working with large structured/unstructured datasets.

•     Exposure to cloud platforms (AWS / GCP / Azure) and distributed computing frameworks (Spark).

GOOD TO HAVE

•     Prior experience with clinical trial data standards (CDISC, CDASH, SDTM) or healthcare ontologies (SNOMED, ICD-10).

•     Familiarity with Trial2Vec or similar trial-to-vector embedding approaches.

•     Experience with LLM fine-tuning, RAG pipelines, or prompt engineering in a production setting.

•     Knowledge of regulatory and compliance considerations in healthcare AI (e.g., FDA guidelines, HIPAA).

•     Contributions to open-source ML projects or published research.

THIS ROLE IS NOT FOR YOU IF…

•     You have strong SQL/BI skills but limited hands-on ML modelling experience — or you’ve built models only in notebooks without ever deploying them to production.

•     Your LLM exposure is limited to API calls and prompt engineering — with no experience fine-tuning models, working with embeddings, or building vector search pipelines.

equired Skills:

• 6–10 years of hands-on experience in C++ development for embedded or automotive systems.
• Strong knowledge of networking protocols: TCP/IP, UDP.
• Experience working with RTOS, bare-metal or Linux-based embedded environments.
• Exposure to Aerospace standards and development lifecycle (e.g., DO-178C, ARP4754) is a must.
• Good understanding of microcontroller/microprocessor architectures.
• Familiarity with version control (e.g., Git), debugging tools, and performance tuning.
• Excellent analytical, problem-solving, and communication skills.

We are hiring a Site Reliability Engineer (SRE) to join our high-performance engineering team. In this role, you'll be responsible for driving reliability, performance, scalability, and security across cloud-native systems while bridging the gap between development and operations.

Key Responsibilities

• Design and implement scalable, resilient infrastructure on AWS
• Take ownership of the SRE function – availability, latency, performance, monitoring, incident response, and capacity planning
• Partner with product and engineering teams to improve system reliability, observability, and release velocity
• Set up, maintain, and enhance CI/CD pipelines using Jenkins, GitHub Actions, or AWS CodePipeline
• Conduct load and stress testing, identify performance bottlenecks, and implement optimization strategies

Required Skills & Qualifications

• Proven hands-on experience in cloud infrastructure design (AWS strongly preferred)
• Strong background in DevOps and SRE principles
• Proficiency with performance testing tools like JMeter, Gatling, k6, or Locust
• Deep understanding of cloud security and best practices for reliability engineering
• AWS Solution Architect Certification – Associate or Professional (preferred)
• Solid problem-solving skills and a proactive approach to systems improvement

Why Join Us?

• Work with cutting-edge technologies in a cloud-native, fast-paced environment
• Collaborate with cross-functional teams driving meaningful impact
• Hybrid work culture with flexibility and autonomy
• Open, inclusive work environment focused on innovation and excellence

Key Responsibilities:

• Design, implement, and maintain scalable, secure, and cost-effective infrastructure on AWS and Azure
• Set up and manage CI/CD pipelines for smooth code integration and delivery using tools like GitHub Actions, Bitbucket Runners, AWS Code build/deploy, Azure DevOps, etc.
• Containerize applications using Docker and manage orchestration with Kubernetes, ECS, Fargate, AWS EKS, Azure AKS.
• Manage and monitor production deployments to ensure high availability and performance
• Implement and manage CDN solutions using AWS CloudFront and Azure Front Door for optimal content delivery and latency reduction
• Define and apply caching strategies at application, CDN, and reverse proxy layers for performance and scalability
• Set up and manage reverse proxies and Cloudflare WAF to ensure application security and performance
• Implement infrastructure as code (IaC) using Terraform, CloudFormation, or ARM templates
• Administer and optimize databases (RDS, PostgreSQL, MySQL, etc.) including backups, scaling, and monitoring
• Configure and maintain VPCs, subnets, routing, VPNs, and security groups for secure and isolated network setups
• Implement monitoring, logging, and alerting using tools like CloudWatch, Grafana, ELK, or Azure Monitor
• Collaborate with development and QA teams to align infrastructure with application needs
• Troubleshoot infrastructure and deployment issues efficiently and proactively
• Ensure cloud cost optimization and usage tracking

Required Skills & Experience:

• 3-4 years of hands-on experience in a DevOps
• Strong expertise with both AWS and Azure cloud platforms
• Proficient in Git, branching strategies, and pull request workflows
• Deep understanding of CI/CD concepts and experience with pipeline tools
• Proficiency in Docker, container orchestration (Kubernetes, ECS/EKS/AKS)
• Good knowledge of relational databases and experience in managing DB backups, performance, and migrations
• Experience with networking concepts including VPC, subnets, firewalls, VPNs, etc.
• Experience with Infrastructure as Code tools (Terraform preferred)
• Strong working knowledge of CDN technologies: AWS CloudFront and Azure Front Door
• Understanding of caching strategies: edge caching, browser caching, API caching, and reverse proxy-level caching
• Experience with Cloudflare WAF, reverse proxy setups, SSL termination, and rate-limiting
• Familiarity with Linux system administration, scripting (Bash, Python), and automation tools
• Working knowledge of monitoring and logging tools
• Strong troubleshooting and problem-solving skills

Good to Have (Bonus Points):

• Experience with serverless architecture (e.g., AWS Lambda, Azure Functions)
• Exposure to cost monitoring tools like CloudHealth, Azure Cost Management
• Experience with compliance/security best practices (SOC2, ISO, etc.)
• Familiarity with Service Mesh (Istio, Linkerd) and API gateways
• Knowledge of Secrets Management tools (e.g., HashiCorp Vault, AWS Secrets Manager)

Location: Mumbai

Experience Required: 2+ Years

Job Type: Full-Time

Notice Period: Immediate Joiners

About the Role

We are seeking a skilled and experienced Front-End Developer to join our product engineering team. The ideal candidate must have experience working in a product-based software development company and should have hands-on involvement in e-commerce platform projects.

Mandatory Criteria

• Candidate must be currently working or have prior experience in a product-based software development company
• Candidate must have worked on at least one e-commerce platform project (end-to-end involvement)

Key Responsibilities

• Develop and maintain responsive, high-performance web interfaces using React.js
• Translate UI/UX designs into pixel-perfect, reusable front-end components
• Optimize components for maximum performance and cross-browser compatibility
• Integrate front-end components with backend RESTful APIs
• Collaborate with design, backend, and QA teams to deliver seamless user experiences
• Participate in code reviews, testing, and agile development ceremonies

Required Skills

• Strong proficiency in JavaScript (ES6+), React.js, HTML5, and CSS3
• Experience with state management libraries such as Redux or Zustand
• Solid understanding of responsive design and cross-browser compatibility
• Familiarity with RESTful APIs and API integration
• Knowledge of version control systems like Git
• Understanding of performance optimization, debugging, and front-end testing practices

• Analyze product requirements and translate them into high-level and low-level designs and develop code in accordance with the defined designs
• Take product ideas from ideation to implementation
• Contribute in creating Software Requirement Specifications (i.e. problem part)
• Analyze change request entries and prioritize with other product backlog items and take ownership of delivery
• Develop systems that are highly scalable, but easy to maintain
• Build high-throughput and low-latency microservices
• Should be efficient with Java J2EE and related technologies.
• Participate in solution testing, user acceptance testing, change control and training
• Installation and configuration/development of the product:

• Core Java: Collections, Generics, data structures, Oops concepts, Exception handling, Design patterns, Data Structure.
• Mysql
• Angular
• Candidate should have working knowledge of web services
• Proven hands-on experience in software and app development using Java Platforms

Love working with influencers and using social media?

We are seeking a digitally savvy, experienced marketing mind to develop and execute our influencer marketing strategies and creative social media campaigns.

The intern is responsible for planning social media calendars, collaborating with in-house designers to create social media posts, assisting the social media team with brainstorming campaigns, monitoring and posting on blogs and social networks, engaging in online forums, participating in online outreach and promotion, optimizing our website, and conducting keyword analysis. Those looking to gain valuable online media experience with an established organization are encouraged to apply.

Interest and passion for Health, Wellness & Fitness industry is a must!