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15+ years of marketing experience, with a focus on brand building and digital marketing.
Candidate must be having experience in handling entire Brand Marketing on a large scale - Mandatory
Need Master's degree in Marketing, Business Administration, or a related field (MBA preferred).
Need local candidate from Mumbai and near by location.
Candidate should be from Media, advertisement or Entertainment industry only.
Candidate must have experience in making Brand Strategies (like Brand Repositioning, Brand Positioning,Brand Awareness Strategy & Brand Innovation Strategy etc.)
Ability to develop and execute successful Marketing Campaigns across multiple channels.
Deep understanding of digital marketing (SEO, SEM, social media, content marketing, email marketing).
Experience managing relationships with external agencies and partners.
Proficiency in marketing technology tools and social media platforms.
Strong Behavioral Data Analyst Profiles
Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
Mandatory (Note): Don't want data analysis but business/product/user analysts
Preferred
Preferred (Skills): Ability to create insightful dashboards and reports highlighting user engagement metrics, sentiment trends, and improvement opportunities
About NonStop:
NonStop is a software services company at the intersection of bioinformatics, genomics, and healthcare technology. We partner with biotech firms, pharma organizations, genomics labs, and clinical institutions to design and deliver production-grade bioinformatics software, AI-powered analytical platforms, and end-to-end genomic data pipelines.
We work on problems that matter: from accelerating variant interpretation workflows and building HIPAA-compliant AI platforms, to orchestrating large-scale multi-omics pipelines for disease diagnostics and pharmacogenomics. Our team blends deep domain expertise with engineering rigor, and we're growing to meet the increasing demand from the life sciences industry for smart, scalable, and compliant bioinformatics solutions.
We work this way:
- We dig deep into biological problems, not just the code. Domain knowledge is valued as much as engineering craft.
- Bioinformatics is a team sport. You'll work alongside software engineers, clinicians, and research scientists.
- You own your work end-to-end, from design to delivery. We trust you to make good decisions and learn fast.
- Life sciences move fast. We encourage continuous learning, conference participation, and staying ahead of the field.
Your role:
As a Bioinformatics Engineer at NonStop, you will be a key contributor in designing, building, and maintaining bioinformatics software solutions and analytical pipelines for our clients across genomics, clinical diagnostics, and precision medicine. You'll bring both biological insight and engineering excellence to every project, collaborating with product, engineering, and scientific teams to deliver solutions that are scalable, reproducible, and compliant.
You’ll be responsible for:
- Build scalable bioinformatics applications and pipelines for efficient processing of genomic, transcriptomic, and multi-omics data.
- Produce high-quality, detailed documentation for all projects, pipelines, tools, APIs, and analytical methods.
- Provide technical consultation and solutions across cross-functional bioinformatics projects.
- Coach and mentor team members through knowledge sharing, code reviews, and pairing on domain-specific challenges.
- Ensure compliance with our SDLC process throughout the product development lifecycle.
- Stay current with evolving bioinformatics technologies and evangelize technical excellence within the team.
We’re looking for:
- Minimum 2 to 3 years of experience in designing, developing, and maintaining bioinformatics solutions.
- Master's degree in Bioinformatics, Computational Biology, or a closely related technical discipline.
- Strong understanding of genomic data analysis, variant calling, targeted sequencing, whole-exome (WES), and whole-genome sequencing (WGS) workflows.
- Hands-on experience with RNA-seq analysis, including differential expression and transcriptomic workflows.
- Proficiency in variant interpretation and ACMG/AMP classification workflows is a plus.
- Knowledge of algorithms and computational model development applied to biological data.
- Strong foundation in statistics and data analysis as applied to genomics and bioinformatics.
- Experience developing and debugging bioinformatics pipelines using Nextflow, Snakemake, WDL, or CWL.
- Proficiency in shell scripting and Linux/Unix environments for NGS data analysis.
- Familiarity with workflow automation and best practices in reproducible pipeline design.
- Excellent programming skills in Python (primary); familiarity with R or Java is a plus.
- Proficiency with standard bioinformatics tools (GATK, DeepVariant, VEP, ANNOVAR, MultiQC, FastQC, etc.).
- Experience with relational databases (PostgreSQL, MySQL, or Oracle) and NoSQL databases (MongoDB).
- Confident use of Git and GitHub for version control and collaborative development.
- Experience with cloud computing platforms (AWS or GCP, or Azure) for bioinformatics workloads.
- Familiarity with high-performance computing (HPC) environments is a plus.
Why join NonStop:
- Work on real-world genomics and clinical bioinformatics problems that directly impact patient care and scientific discovery.
- Collaborate with life sciences clients at the cutting edge, from rare disease diagnostics to AI-assisted bioinformatics platforms.

Key Responsibilities
Develop and deploy scalable AI-powered applications using the Python stack.
Leverage cutting-edge AI/ML technologies such as LangChain, LangGraph, AutoGen, Phidata, CrewAI Hugging Face, OpenAI APIs, PyTorch, TensorFlow, and other advanced frameworks to build innovative AI applications. Write clean, efficient, and well-documented code adhering to best practices.
Build and manage robust APIs for integrating AI solutions into applications.
Research and experiment with emerging technologies to discover new AI-driven use cases.
Deploy and manage AI solutions in cloud environments (AWS, Azure, GCP), ensuring security, scalability, and performance.
Collaborate with product managers, engineers, and UX/UI designers to define AI application requirements and align them with business objectives.
Apply MLOps principles to streamline AI model deployment, monitoring, and optimization.
Solve complex problems using foundational knowledge of generative AI, machine learning, and data processing techniques.
Contribute to continuous improvement of development processes and practices.
Resolve production issues by conducting effective troubleshooting and root cause analysis (RCA) within SLAs. Work with operations teams to support product deployment and issue resolution.
Requirements
Educational Background
Bachelor’s or Master’s degree in Computer Science or related fields with a strong academic track record. Experience
Technical Skills:
3+ years of hands-on experience in building and deploying AI applications on Python stack. Strong knowledge of Python and related frameworks.
Good knowledge of few of the AI/ML frameworks and agentic frameworks and platforms like LangChain, LangGraph, AutoGen, Hugging Face, CrewAI, OpenAI APIs, PyTorch, and TensorFlow etc.
Experience with AI/ML workflows, including data preparation, model deployment, and optimization. Proficiency in building and consuming RESTful APIs for connecting AI models with web applications. Knowledge of MLOps tools and practices, including model lifecycle management, CI/CD for AI, and model monitoring.
Familiarity with cloud platforms like AWS, Azure, or Google Cloud, including containerization (Docker) and orchestration (Kubernetes).
Experience with CI/CD pipelines, version control (Git), and automation frameworks. Strong understanding of algorithms, AI/ML fundamentals, and data preprocessing techniques.
Soft Skills:
Passion for exploring, experimenting and implementing emerging AI technologies. Self-starter who can independently and collaboratively in a fast-paced environment. Excellent problem-solving and analytical abilities to tackle complex challenges.
Effective communication skills to explain AI concepts and strategies to stakeholders.
Key Responsibilities:
- Develop and maintain both front-end and back-end components of web applications.
- Collaborate with product managers, designers, and other developers to build user-friendly features.
- Write clean, maintainable, and efficient code that adheres to coding standards and best practices.
- Build reusable code and libraries for future use.
- Optimize applications for maximum speed and scalability.
- Implement responsive design to ensure consistent user experience across all devices.
- Work with databases (SQL/NoSQL) and integrate with third-party services and APIs.
- Troubleshoot, debug, and optimize application performance.
- Participate in code reviews, ensuring code quality and consistency across the team.
- Stay updated on the latest industry trends and best practices in full-stack development.
- Contribute to an agile development process, attending sprints, standups, and retrospectives.
Required Skills and Qualifications:
- Proven experience as a Full Stack Developer or similar role.
- Proficiency in front-end technologies such as HTML, CSS, JavaScript, and modern frameworks (React.js, Next.js, Angular, or Vue.js).
- Strong experience in back-end technologies such as Node.js, Python, Ruby, Java, or PHP.
- Familiarity with database technologies (e.g., MySQL, PostgreSQL, MongoDB).
- Experience with version control systems, particularly Git.
- Knowledge of RESTful API design and integration.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud is a plus.
- Experience in microservices based architecture is a plus.
- Strong problem-solving skills and attention to detail.
- Ability to work independently as well as part of a team.
- Excellent communication skills, both verbal and written.
Position : India Practice Head We are seeking an experience and Dynamic individual to lead our Cyber Security services in India. As India Practice Head you will be responsible for driving business growth, managing client relationships, and delivering exceptional cyber security services to our clients.
You will work closely with leadership team
to develop and execute the strategic plan for the India Practice.
Key Responsibilities:
- Lead the Cyber security services practice in India including business development, client relationships management, service delivery and offshore business execution coming from US
- Develop and execute the strategic plan for the India practice in alignment with the global cybersecurity services strategy.
- Build and maintain strong relationships with key clients and stakeholders, ensuring their needs are met and exceeded.
- Drive business growth through the development of new services offerings, market analysis, and competitive intelligence.
- Manage and mentor a team of cybersecurity professionals, providing guidance and support to ensure quality service delivery.
- Ensure compliance with relevant laws, regulations, and industry standards in India.
Requirements:
- Bachelor's or Master's degree in Computer Science, Information Technology, or related field.
- At least 15 years of experience in cybersecurity services, with a proven track record of successful business development and client relationship management.
- Strong knowledge of cybersecurity frameworks and standards, such as ISO 27001, NIST, and PCI DSS, CERT-In
- Experience in managing Departments and mentoring a team of cybersecurity professionals.
- Excellent communication and interpersonal skills, with the ability to build and maintain strong relationships with clients and stakeholders.
- Strong leadership skills, with a proven track record of building and leading high-performance teams. Experience in managing cyber security services for mid-enterprises.
- Ability to research and evaluate potential solutions to determine suitability for the organization’s needs. Capability to work in a fast-paced environment and manage multiple projects simultaneously.
- Keep up to date with the latest cybersecurity trends and technologies.
- If you are a driven and experienced cybersecurity professional with a passion for leading and growing a practice, we encourage you to apply for this exciting opportunity.
We are currently looking for Senior Recruiters & International recruiters for our Job Search Services department.
Responsibilities:
· Research, register and apply for jobs available overseas, as per the client's requirement.
· Develop and implement a search strategy that includes recruitment agencies, employer websites, job boards and social networks.
· Understand the client's profile and suggest the availability of jobs as per their requirement.
· Review resumes and credentials for appropriateness of skills, experience and knowledge.
· Understand different skill sets and job descriptions and apply for the right job on job portals, recruitment boards, to recruitment agencies & directly company's website.
· Ability to interact with the clients on call and email on their job search services.
· Co-ordinate responses and interview schedules with clients, as needed
What you will do:
- Assembling large, complex data sets
- Assisting Data Science initiatives with data set preparation, annotation etc.
- Enabling Data Science teams to design solutions that are highly scalable and available
- Managing code pipelines for ML and Reporting
What you need to have:
- B.Tech/ B.E (Masters would be an advantage)
- Expert level experience in Python Development
- Knowledge of Database and Data Structures (My SQL and Postgre)
- Good hands-on experience of SQL
- Experience working on real time production systems (either of Data Science/ Application development is fine)
- Experience of backend development that includes python APIs, Flask, integrations etc.
- Exposure of MLOps (Operationalizing statistical/ ML algorithms)
- Experience working on Data Science engagements/ Use cases
- Basic knowledge of Statistics
- Exposure to any of these- NLP/ Statistical Modelling/ Image Analytics
- Good aptitude to understand business use cases/ requirements
- Previous experience of technical solutioning
- Excellent problem solving skills
- Good Communication skills
DeepSource is working on building tools that help developers ship good code. There are over 40 million developers in the world, and all of them write and review code in some form. There’s a massive opportunity to impact how software is built right from where the code is written using automation and intelligence, that not only improves developer productivity but also increases software’s robustness.
The Language Engineering team works on the source code analyzers, including both programming languages and configuration-as-code systems. As a member of the Language Engineering team, you will work on building the best, most comprehensive, Python analyzer in the world. You will add new rules and Autofixes for finding more issues with code and automatically fixing them. You will be involved with the Python community to understand the problems with static analysis tools in the ecosystem.
As a member of the Language Engineering team, you will:
-
Identify bad code practices in Python and write new analyzers to detect them.
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Improve the coverage of automatically fixable issues.
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Ensure fewer false positives are reported by the analyzer.
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Work on the internal tools that support analysis runtimes.
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Contribute to open-source static analysis tools.
We’re looking for someone who has:
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Strong foundational knowledge in Computer Science.
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At least 2 years of professional software development experience in Python.
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Understanding of the nuances of execution of the source code (AST, data flow graphs, etc).
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Familiarity with Python best practices followed in the industry.
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Native experience with Linux/Unix environment.
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A focus on delivering high-quality code through strong testing practices.
We offer competitive compensation with meaningful stock options, a generous vacation policy, and a workstation of your choice, to name a few of the perks.











