
**Responsibilities**
- Active management right from the initial stage till the end of the product life cycle to deliver high-quality products.
- Write, prioritize requirements, manage and facilitate the product development lifecycle from inception to release.
- Specify market requirements for current and future products by conducting market research supported by ongoing visits to customers and non-customers.
- Lead the product strategy through to development and deployment, working with leaders in business from sales, marketing, operations, and development.
- Develop and implement a company-wide go-to-market plan, work with all the departments to execute.
- Analyze potential partner relationships for the product.
- Work with an engineering counterpart to define product release requirements.
- Discover products as per customer need with current marketing trends.
- Work with the marketing team to identify the requirements from the sales and create product requirement documents.
- Interact with clients and the technology team.
- Work with external third parties to assess partnerships and licensing opportunities.
**Skills**
- Must have Effective oral and written communication skills.
- Must have Excellent interpersonal skills and presentation skills.
- Must have Organizational skills and the ability to understand detailed information.
- Must have Knowledge of current marketing trends.
- Must have People management & leadership.
- Must be resourceful, innovative, self-motivated, and confident in high-stress situations
- Must have Product Management, Product Development understanding.
- Must have good analytical and troubleshooting skills with end-users / customers.
- Must have competitive intelligence.
Perks and Benefits
The company provides medical insurance and other benefits.

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Key Responsibilities:
Design and develop ETL processes for claims, enrollment, provider, and member data
Handle EDI transactions (837, 835, 834) and health plan system integrations
Build data feeds for regulatory reporting (HEDIS, Stars, Risk Adjustment)
Troubleshoot data quality issues and implement data validation frameworks
Required Experience & Skills:
5+ years of ETL development experience
Minimum 3 years in Healthcare / Health Plan / Payer environment
Strong expertise in SQL and ETL tools (Informatica, SSIS, Talend)
Deep understanding of health plan operations (claims, eligibility, provider networks)
Experience with healthcare data standards (X12 EDI, HL7)
Strong knowledge of HIPAA compliance and PHI handling
Job Summary:
We are seeking a dynamic Online Reputation Management Consultant to ensure a strong, positive online presence across key platforms including Quora, X (formerly Twitter), Facebook/Meta, LinkedIn, YouTube, GlassDoor, and Reddit. The ideal candidate will drive systematic improvements in our digital reputation, collaborate with an extensive internal team, and work with external experts to enhance our brand perception month over month.
Key Responsibilities:
- Online Reputation Enhancement:
- Monitor and manage our online presence to ensure a consistently strong and positive reputation across all major social and review platforms.
- External Audit Coordination:
- Identify and engage with an external reputation consultant to conduct comprehensive monthly online reputation audits.
- Collaborate with the consultant to develop actionable strategies for systematic improvement, similar to practices used in managing Google reviews.
- Internal Collaboration & Engagement:
- Work closely with 500+ team members and their networks to plan and execute contests, games, and other events that leverage their social influence and drive positive public sentiment.
- Develop and implement initiatives that encourage employee advocacy and active participation in promoting our brand online.
- Strategic Reporting & Analysis:
- Provide regular reports on reputation metrics and campaign performance, and adjust strategies as needed to ensure continuous improvement.
- Proactively address any negative feedback or issues that may arise, developing crisis management plans as necessary.
Qualifications:
- Proven experience in online reputation management, digital marketing, or social media strategy.
- Strong interpersonal and communication skills, with the ability to collaborate effectively with both internal teams and external consultants.
- A data-driven mindset with proficiency in reputation management tools and social media analytics.
- Excellent organizational skills and the ability to manage multiple projects simultaneously.
- Ability to creatively engage a large network of team members and mobilize them for brand advocacy.
Preferred Qualifications:
- Bachelor’s degree in Marketing, Communications, Business, or a related field.
- Prior experience working in a corporate or agency setting focused on online reputation management.
- Familiarity with crisis management strategies and experience in executing large-scale employee engagement campaigns.
Senior Machine Learning Engineer
About the Role
We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.
This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.
Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.
What You’ll Be Doing
Building and Deploying ML Models
- Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
- Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
- Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
- Work with data engineers to design and validate data pipelines that feed ML systems.
- Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.
Leading and Architecting ML Solutions
- Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
- Architect ML solutions that integrate seamlessly with business applications and existing systems.
- Ensure models and solutions are explainable, auditable, and aligned with business goals.
- Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
- Set clear standards for how ML problems are framed, solved, and delivered within the team.
Collaborating and Communicating
- Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
- Translate business problems into clear ML objectives, inputs, and expected outputs.
- Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
- Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.
What We’re Looking For
Machine Learning Expertise
- Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
- Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
- Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
- Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.
Production and Cloud Deployment
- Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
- Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
- Experience with Docker, Kubernetes, or serverless architectures is a plus.
- Ability to think beyond deployment and consider operational reliability and long-term maintenance.
Data Handling
- Strong programming skills in Python.
- Proficiency in SQL and working with large-scale datasets.
- Ability to reason about data quality, data limitations, and how they impact ML outcomes.
- Familiarity with distributed computing frameworks like Spark or Dask is a plus.
Leadership and Communication
- Ability to lead and mentor ML Engineers and work effectively across teams.
- Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
- Comfortable taking ownership and making decisions in ambiguous problem spaces.
- Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.
Experience Needed
- 6+ years of experience in machine learning engineering or related roles.
- Proven experience designing, selecting, and deploying ML solutions used in production.
- Experience managing ML systems after deployment, including monitoring and iteration.
- Proven track record of working in cross-functional teams and leading ML initiatives.
Minimum Qualifications/Experience:
1. B. Pharma, B.Sc./M.Sc. (Chemistry/Microbiology)
2. 8+ Years of experience in QA process in Pharmaceutical / food processing / cosmetics / chemical industries.
Job Responsibilities:
C1. Principal thrust area:
You shall be responsible for maintaining and improving all QMS activity, GMP and GLP across the company.
C2. Key Deliverables:
1. Ensure manufacturing practices as per cGMP and GLP standards.
2. Handling QMS activities like change control, validations, stability, qualifications, APQR and Risk assessment etc.
3. Applications for AHC to AQCS, EIA and Capexil and coordinate related activities. (AHV/SPD: This is exclusive knowledge related to Capsule and companies manufacturing animal origin products. We have mentioned this as the candidate on joining will be responsible for this work though he/she may not be having exposure to same.)
4. Organize internal and external audits for ISO, GMP+, FDA, Capexil, GMP+, EIA and others. Maintain the documents required for those audits.
5. Organize internal and external audits for ISO, GMP+, FDA, Capexil, GMP+, EIA and others. Maintain the documents required for those audits.6. Evaluation and approval of Suppliers for RM, PM, testing labs and service providers.
7. Assisting HOD in customer complaint analysis and preparation of customer complaint report.
8. Investigation of incidents, deviations, OOS and ensure corrective actions in place.
9. Reviewing the daily availability of operators and allocating work to them.
10. Maintaining and review BMR documents, guide for relevant changes if required.
11. Label artwork review and management.
Competencies:
D1. Technical Competencies:
a) Analytical skills (spotting trends and patterns)
b) Report writing skills
c) Problem solving abilities
d) GMP and GDP knowledge
e) Good English communication skills (verbal & written).
Behavioural Competencies:
a) Quality and Service Orientation
b) Delivering consistent results
c) Ability to prioritize, organize, manage work and time.
d) Customer Centric
e) Cross Functional Team Working
Reporting & Responsibility:
Position Reports to: Plant Head (M03)
Reportees to this position: Assistant Officer QA – M12 (2 nos)
Job Location:
1. Tarapur MIDC. Tarapur MIDC, Boisar, Dist. Palghar, Maharashtra.
Preference will be given to candidates in Tarapur/Boisar area or willing to relocate.
2. For outstation bachelors, Company provides a subsidized bachelor’s flat. For outstation families, Company provides subsidized accommodation in company owned buildings. Relocation allowance is offered.
3.Tarapur- Railway station Boisar takes 1.5 hrs. by train from Borivali Station or by road via Western Express Highway.
4. Suburban local trains direct from Churchgate to Boisar Railway station available.
G. What’s in it for You:
1. Opportunity to be part of a growing organization offering niche products to Pharma industry.
2. Opportunity to work at Head Office location.
3. Intimate small company culture with MNC professionalism.
4. Company value programs TrANSSCEnD.
5. Employee events like festival celebrations, family fun events etc.
6. Five days working (alternate weeks).
7. Medical Insurance for your immediate family.
8. Housing accommodation for Bachelors & family.
Job Overview:
We are seeking a highly experienced and innovative Senior AI Engineer with a strong background in Generative AI, including LLM fine-tuning and prompt engineering. This role requires hands-on expertise across NLP, Computer Vision, and AI agent-based systems, with the ability to build, deploy, and optimize scalable AI solutions using modern tools and frameworks.
Required Skills & Qualifications:
- Bachelor’s or Master’s in Computer Science, AI, Machine Learning, or related field.
- 5+ years of hands-on experience in AI/ML solution development.
- Proven expertise in fine-tuning LLMs (e.g., LLaMA, Mistral, Falcon, GPT-family) using techniques like LoRA, QLoRA, PEFT.
- Deep experience in prompt engineering, including zero-shot, few-shot, and retrieval-augmented generation (RAG).
- Proficient in key AI libraries and frameworks:
- LLMs & GenAI: Hugging Face Transformers, LangChain, LlamaIndex, OpenAI API, Diffusers
- NLP: SpaCy, NLTK.
- Vision: OpenCV, MMDetection, YOLOv5/v8, Detectron2
- MLOps: MLflow, FastAPI, Docker, Git
- Familiarity with vector databases (Pinecone, FAISS, Weaviate) and embedding generation.
- Experience with cloud platforms like AWS, GCP, or Azure, and deployment on in house GPU-backed infrastructure.
- Strong communication skills and ability to convert business problems into technical solutions.
Preferred Qualifications:
- Experience building multimodal systems (text + image, etc.)
- Practical experience with agent frameworks for autonomous or goal-directed AI.
- Familiarity with quantization, distillation, or knowledge transfer for efficient model deployment.
Key Responsibilities:
- Design, fine-tune, and deploy generative AI models (LLMs, diffusion models, etc.) for real-world applications.
- Develop and maintain prompt engineering workflows, including prompt chaining, optimization, and evaluation for consistent output quality.
- Build NLP solutions for Q&A, summarization, information extraction, text classification, and more.
- Develop and integrate Computer Vision models for image processing, object detection, OCR, and multimodal tasks.
- Architect and implement AI agents using frameworks such as LangChain, AutoGen, CrewAI, or custom pipelines.
- Collaborate with cross-functional teams to gather requirements and deliver tailored AI-driven features.
- Optimize models for performance, cost-efficiency, and low latency in production.
- Continuously evaluate new AI research, tools, and frameworks and apply them where relevant.
- Mentor junior AI engineers and contribute to internal AI best practices and documentation.
Role = Front desk Executive
Location = Powai and Santacruz, Mumbai
Working days = 6-day working
LOOKING ONLY FOR FEMALE CANDIDATES
MUST HAVE EXPERIENCE OR KNOWLEDGE OF Zenoti Software
Job Description for Front Desk
• Keep front desk tidy and presentable with all necessary materials (calculator, pen, printer etc)
• Greet, communicate and welcome clients with a smile.
• Make client comfortable and can offer refreshment (like water, tea, & coffee etc)
• Answer questions and address grievances
• keep updated records and files of the clients
• Familiarity with EcoGreen & Zenoti
• Answering All incoming calls and redirecting them or keeping messages.
• Direct clients to the appropriate doctors , therapists with whom appointment is fixed with assigned room.
• Be familiar with procedures for handling all aspects of customer complaints or disputes.
• Should be able to handle bookings and process billing part and follow up with clients for balance payment.
• Asking them to book the next appointment while they done with treatment
• Maintain a professional environment and brand decorum.
• Should have a client schedule ready before the client arrives.
• ensuring to inform the client about the waiting time and about the delays in their schedules.
• Responsible for sharing the incident sheet and reporting it to the clinic manager.
• Responsible for escalating client issues to concerned doctors .
• Ensuring timely redemption of packages and sessions
• Ensuring Timely to close bills and pre paid balance of clients
• Responsible for handing over hard copies of service product bills and customer copies if a card is being swiped.
• Responsible for arranging/coordinating
or keeping ready the machines for movement between the rooms
A strong mobile app developer who welcomes both engineering and maintenance tasks. The primary focus will be to implement new user interfaces and features across Android, IOS and Web. He should be able to handle the complete app development lifecycle independently and give a quick turnaround with the set deliverables and timelines.
Job Description:
We are looking for ‘Oracle Apps Lead’ with 12-plus years of work experience. As a part of our Technology/Solutions leadership team, you will be directly working with stakeholders to understand long-term strategic and mid-term business goals. This role will oversee both the Corporate Finance and HR which include Strong familiarity with Software Development Life Cycle.
Job Responsibilities:
- Experience in Analysis, Design, Development, Testing and Implementation of Software Applications using Oracle Applications R12x/12.0.6/12.2.5/Oracle Cloud spread across Implementations, Version upgrades, Data conversions and Customizations.
- Implementation and technical expertise in Oracle EBS Application Modules
- Good experience in PL SQL, Oracle Workflow, Oracle/OAF Forms, Reports, XML Publisher.
- Must have experience leading teams and Solution to deliver projects as Solution Architect to lead Blueprinting sessions and create a roadmap for project delivery and scope validation.
- Lead the translation of the client's business goals, objectives, and requirements into systems design
- Review and/or develop technical design documents to ensure completeness and feasibility with the overall ERP solution
Who We’re Looking For:
The candidate must possess knowledge relevant to the functional area, and act as a subject matter expert in providing advice in the area of expertise, and also focus on continuous improvement for maximum efficiency. It is vital to focus on high standard of delivery excellence, provide top-notch service quality and develop successful long-term business partnerships with internal/external customers by identifying and fulfilling customer needs. He/she should be able to break down complex problems into logical and manageable parts in a systematic way, and generate and compare multiple options and set priorities to resolve problems. The ideal candidate must be proactive, and go beyond expectations to achieve job results and create new opportunities. He/she must positively influence the team, motivate high performance, promote a friendly climate, give constructive feedback, provide opportunities for development, and manage career aspirations of direct reports. Communication skills are key here, to explain organizational objectives, assignments, and the big picture to the team, and to articulate team vision and clear objectives.
- 5-8 years of experience in handling social media and Influencer marketing campaigns
- Excellent knowledge of Whatsapp, LinkedIn, Facebook, Twitter, Instagram , and other relevant platforms
- Understanding of SEO and web traffic metrics
- Good knowledge of social media KPIs
- Proven track record in outreach campaign strategies
- In-depth knowledge of the social media marketing industry
- Impeccable verbal and written communication skills
Responsibilities
- Develop and execute social media strategies and creative campaigns
- Identify and build relationships with prominent influencers and thought leaders
- Develop content ideas and write and curate content
- Research relevant industry experts, competitors, target audience, and users
- Brainstorm new, creative approaches to influencer campaigns
- Keep abreast of emerging trends, technologies, and influencers.
- Find new and better ways of measuring social media activity.
- Develop, implement and manage our social media strategy
- Define most important social media KPIs
- Manage and oversee social media content
- Measure the success of every social media campaign
- Stay up to date with the latest social media best practices and technologies
- Work with copywriters and designers to ensure content is informative and appealing
- Monitor SEO and user engagement and suggest content optimization
Key Performance Indicators
- Creating unique value propositions for both brand and key products and implement them with an always-on calendar
- Drive strategic brand initiatives positively impacting key parameters like Imagery, Awareness, and Consideration.
- Identifying content amplification opportunities (Real-time trends, collaborations, etc.)
- Improve engagement rate for the brand across relevant platforms.
Core competency
- Execution & Delivery - Takes ownership providing timely and result oriented solutions with operational excellence
- Accountability - Responsible for the tasks assigned under the ambit of the key responsibilities of the role and additionally for any dependencies with cross functional teams
- Team - Work & Collaboration - Fosters a culture of trust, collaboration and support
- Effective Communication - Communicates timely and responsively with clarity and effect (both verbal and written). Seeks and provides feedback












