Software Engineer

Review Criteria

• Strong Senior Data Scientist (AI/ML/GenAI) Profile
• 5+ years of experience in designing, developing, and deploying Machine Learning / Deep Learning (ML/DL) systems in production
• Must have strong hands-on experience in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX.
• 1+ years of experience in fine-tuning Large Language Models (LLMs) using techniques like LoRA/QLoRA, and building RAG (Retrieval-Augmented Generation) pipelines.
• Must have experience with MLOps and production-grade systems including Docker, Kubernetes, Spark, model registries, and CI/CD workflows

Preferred

• Prior experience in open-source GenAI contributions, applied LLM/GenAI research, or large-scale production AI systems
• Preferred (Education) – B.S./M.S./Ph.D. in Computer Science, Data Science, Machine Learning, or a related field.

Job Specific Criteria

• CV Attachment is mandatory
• Which is your preferred job location (Mumbai / Bengaluru / Hyderabad / Gurgaon)?
• Are you okay with 3 Days WFO?
• Virtual Interview requires video to be on, are you okay with it?

Role & Responsibilities

Company is hiring a Senior Data Scientist with strong expertise in AI, machine learning engineering (MLE), and generative AI. You will play a leading role in designing, deploying, and scaling production-grade ML systems — including large language model (LLM)-based pipelines, AI copilots, and agentic workflows. This role is ideal for someone who thrives on balancing cutting-edge research with production rigor and loves mentoring while building impact-first AI applications.

Responsibilities:

• Own the full ML lifecycle: model design, training, evaluation, deployment
• Design production-ready ML pipelines with CI/CD, testing, monitoring, and drift detection
• Fine-tune LLMs and implement retrieval-augmented generation (RAG) pipelines
• Build agentic workflows for reasoning, planning, and decision-making
• Develop both real-time and batch inference systems using Docker, Kubernetes, and Spark
• Leverage state-of-the-art architectures: transformers, diffusion models, RLHF, and multimodal pipelines
• Collaborate with product and engineering teams to integrate AI models into business applications
• Mentor junior team members and promote MLOps, scalable architecture, and responsible AI best practices

Ideal Candidate

• 5+ years of experience in designing, deploying, and scaling ML/DL systems in production
• Proficient in Python and deep learning frameworks such as PyTorch, TensorFlow, or JAX
• Experience with LLM fine-tuning, LoRA/QLoRA, vector search (Weaviate/PGVector), and RAG pipelines
• Familiarity with agent-based development (e.g., ReAct agents, function-calling, orchestration)
• Solid understanding of MLOps: Docker, Kubernetes, Spark, model registries, and deployment workflows
• Strong software engineering background with experience in testing, version control, and APIs
• Proven ability to balance innovation with scalable deployment
• B.S./M.S./Ph.D. in Computer Science, Data Science, or a related field
• Bonus: Open-source contributions, GenAI research, or applied systems at scale

• Lead & manage the marketing function of the studio end to end from planning to execution for quality lead generation
• Manage and refine our social media channel with content marketing and inbound marketing.
• Consistently identifying revenue opportunities within our established client base and managing consistent growth by securing new accounts and by generating new quality leads.
• Continually review changes to the market, use tools to measure & iterate so that results are predictable and sustainable
• Report directly to the CEO and rally along to execute the brand vision.
• KPI’s will be around # of qualified leads, site traffic, awards won, lead to conversion ratios, content quality, ranking on platforms like clutch, etc.

• Excellent leadership, communication, and decision-making skills
• Experience with digital marketing, content marketing, and social media marketing
• Able to set and achieve targets as well as do not shy from achieving given targets
• Self-motivated and committed to perform
• Ability to track, measure, and iterate based on results

 We are seeking a highly skilled and motivated Digital Marketing Associate with at least 2 years of experience in Pay-Per-Click (PPC) advertising. The ideal candidate will have a strong understanding of PPC strategies, campaign management, data analysis, and optimization techniques. As a PPC Specialist, you will be responsible for managing and optimizing our PPC campaigns to drive targeted traDevelop, implement, and manage PPC campaigns across various platforms such as Google Ads, Bing Ads, social media advertising and Native.

- Conduct keyword research to identify high-value keywords and develop effective revenue

- Monitor campaign performance, budget allocation, and keyword bids to ensure optimal performance and cost efficiency.

Analyze campaign data and generate actionable insights to improve campaign performance, including adjustments to bidding strategies, ad placements, and targeting.

ffic, conversions, and ROI.

• Develop new features understanding current architecture of system
• Responsible to design , develop, test, integrate and support product life cycle.
• Developing existing systems by analyzing and identifying areas for improvements
• Creating Design/Architecture documents, technical specifications, and test cases in line with Quality systems
• Maintaining systems by identifying and correcting software defectsDeveloping / Influencing Requirements.
• Willing and flexible to work on C++ 
• Consulting internal / external stakeholders concerning maintenance and performance of software systems; implementing software solutions
• "Strong Object Orientated C++

About Company : -

It is the 2018 Forbes Choice Award Winner and Galen Growth’s 2018 Most

Innovative Startup in Asia. It is a reliable & secure health-tech platform with a mission to

simplify access to healthcare by connecting millions of patients with licensed doctors, insurance, labs, and pharmacies in one mobile application.

Role : - Engineering Manager

Key Job Responsibilities:

● He/She is a responsive team player who can proactively contribute for building technical

strategies for applications and systems by promoting an understanding of the technology and business roadmap.

● He /she is someone who thrives in a fun, fast-paced, dynamic, startup-like environment.

● Work very closely with various business stakeholders to drive the execution of multiple

business plans and technologies.

● Work closely with Product, Design, and Marketing to conceive features, plan projects, and build roadmaps

● Prior experience with scalable Architecture managing team of minimum 5 engineers and

coaching, mentoring while maintaining a role with code development.

● Proven history of contributing to product strategy and shipping products with multi-functional teams.

● Highly involved in recruitment while building team also leading app development for both

platforms

● Promote and support company policies, procedures, mission, values, and standards of ethics and integrity.

Minimum Qualification:

• Total of 9+ years experience
• Hands-on working on Java ( {Language understanding - Java 8, Lambdas, Collections,popular frameworks & libraries}, JVM, GC tuning, performance tuning)

• Worked on REST frameworks/libraries like Spring MVC, Spring Boot, Dropwizard, REST Express etc

• Worked on Relational data stores viz. MySQL, Oracle, or Postgres
• Worked on Non-relational data stores viz. Cassandra, HBase, Couchbase, MongoDB, etc
• Worked on caching infra viz. Redis, Memcached, Aerospike, Riak, etc
• Worked on Queueing infra viz. Kafka, RabbitMQ, ActiveMQ etc

• Should have E-publishing and Editorial services domain knowledge
• Should understand the competitive landscape and identify the gaps in the market
• Must be able to identify the right opportunities & qualify leads for the Sales team
• Should be able to handle communication and fresh conversations with prospects
• Should have min. 2 years of experience working on the US, European Markets
• Assist Sales Team in identifying, following up, and qualifying prospects
• Generate reports & dashboards on Marketing influenced pipelines regularly
• Create clear and crisp product presentations and solution demonstrations
• Research & develop prospect lists using LinkedIn, Zoominfo, and Web research
• Participate and actively contribute in Marketing Strategy Meetings
• To work with the sales team in handing over any pre-sales efforts
• Support sales efforts with in-depth product and business knowledge
• Miscellaneous Pre-Sales and Sales related activities

Required Experience / Qualifications

• MBA from a good institute with a go-getter attitude to pursue leads and targets
• A motivated, competitive individual with a strong aptitude for Publishing technology
• 4-6 years of experience in a sales & marketing role
• Knowledge of commonly used CRM Salesforce and Marketing automation tools and dashboards
• Excellent presentation skills, verbal and written communication skills, and interpersonal skills

Experience:

• 1 to 4 years of experience in Digital Marketing

Kinds of Projects Undertaken:

• ePublishing, Editorial Services, eLearning, eBook, Accessibility

• Strong proficiency in MySQL database administration, migrations /up-gradation, patching, cloning, capacity planning, designing, and automation of database tasks.
• Good experience with the latest versions of the database
• In-depth experience configuring database replication on multiple versions
• Strong experience in Monitoring, DB Performance Tuning, DB Availability, DR, Security, Storage
• Analyzes and provides recommendations to optimize the database for improved performance, manageability, and scalability
• Expertise in enterprise backups, recovery, and performing point-in-time recovery Experience in deploying and integrating PM tools
• Experience in data partitioning and encryption
• Knowledge of de-facto standards and best practices in MySQL and MongoDB
• Proficient in writing and optimizing SQL statements and Knowledge of MySQL features, such as its event scheduler
• Familiarity with other SQL/NoSQL databases such as PostgreSQL, MongoDB, etc.
• Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
• Proficient understanding of code versioning tools such as Git / Mercurial / SVN