11+ Organic synthesis Jobs in Bangalore (Bengaluru) | Organic synthesis Job openings in Bangalore (Bengaluru)

1. Develop new key account relationship and act as the main point of contact to ensure effective communication and services deliveries to meet or exceed client expectations
2. Provide ongoing customer and technical support for products and services
3. Assist in preparing quotations, provide pricing and availability of products
4. Entry of orders, process and invoices
5. Effectively communicate and coordinate with logistics and lab during all steps of the ordering process from inception to completion
6. Develop and maintain existing accounts by identifying customer needs and recommending relevant products/solutions
7. Participate in business development strategies. 
8. Responsible for the business growth and execution of business development/sales strategy to achieve the target.
9. Maintain professional and technical knowledge; participate in industry trade shows and conferences
10. Review and maintain assigned accounts in the CRM for accuracy.
11. Extensive exposure and knowledge in exports documentation, shipment and sales generation is must.

Job description

We are looking for a Data Scientist with strong AI/ML engineering skills to join our high-impact team at KrtrimaIQ Cognitive Solutions. This is not a notebook-only role — you must have production-grade experience deploying and scaling AI/ML models in cloud environments, especially GCP, AWS, or Azure.

This role involves building, training, deploying, and maintaining ML models at scale, integrating them with business applications. Basic model prototyping won't qualify — we’re seeking hands-on expertise in building scalable machine learning pipelines.

Key Responsibilities

Design, train, test, and deploy end-to-end ML models on GCP (or AWS/Azure) to support product innovation and intelligent automation.

Implement GenAI use cases using LLMs

Perform complex data mining and apply statistical algorithms and ML techniques to derive actionable insights from large datasets.

Drive the development of scalable frameworks for automated insight generation, predictive modeling, and recommendation systems.

Work on impactful AI/ML use cases in Search & Personalization, SEO Optimization, Marketing Analytics, Supply Chain Forecasting, and Customer Experience.

Implement real-time model deployment and monitoring using tools like Kubeflow, Vertex AI, Airflow, PySpark, etc.

Collaborate with business and engineering teams to frame problems, identify data sources, build pipelines, and ensure production-readiness.

Maintain deep expertise in cloud ML architecture, model scalability, and performance tuning.

Stay up to date with AI trends, LLM integration, and modern practices in machine learning and deep learning.

Technical Skills Required Core ML & AI Skills (Must-Have):

Strong hands-on ML engineering (70% of the role) — supervised/unsupervised learning, clustering, regression, optimization.

Experience with real-world model deployment and scaling, not just notebooks or prototypes.

Good understanding of ML Ops, model lifecycle, and pipeline orchestration.

Strong with Python 3, Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Seaborn, Matplotlib, etc.

SQL proficiency and experience querying large datasets.

Deep understanding of linear algebra, probability/statistics, Big-O, and scientific experimentation.

Cloud experience in GCP (preferred), AWS, or Azure.

Cloud & Big Data Stack

Hands-on experience with:

GCP tools – Vertex AI, Kubeflow, BigQuery, GCS

Or equivalent AWS/Azure ML stacks

Familiar with Airflow, PySpark, or other pipeline orchestration tools.

Experience reading/writing data from/to cloud services.

Qualifications

Bachelor's/Master’s/Ph.D. in Computer Science, Mathematics, Engineering, Data Science, Statistics, or related quantitative field.

4+ years of experience in data analytics and machine learning roles.

2+ years of experience in Python or similar programming languages (Java, Scala, Rust).

Must have experience deploying and scaling ML models in production.

Nice to Have

Experience with LLM fine-tuning, Graph Algorithms, or custom deep learning architectures.

Background in academic research to production applications.

Building APIs and monitoring production ML models.

Familiarity with advanced math – Graph Theory, PDEs, Optimization Theory.

Communication & Collaboration

Strong ability to explain complex models and insights to both technical and non-technical stakeholders.

Ask the right questions, clarify objectives, and align analytics with business goals.

Comfortable working cross-functionally in agile and collaborative teams.

Important Note:

This is a Data Science-heavy role — 70% of responsibilities involve building, training, deploying, and scaling AI/ML models.

Cloud experience is mandatory (GCP preferred, AWS/Azure acceptable).

Only candidates with hands-on experience in deploying ML models into production (not just notebooks) will be considered.

The candidate would be responsible for ascertaining the working of various asset classes basis

market research (both primary and secondary)– with focus being on retail centric development.

Key asset classes that would be covered are- retail, offices, hospitality, warehousing and

residences.

1. Market research report – primary survey, secondary survey, data collation by self/agency

2. Viability study – Rent /income benchmarking

KEY ACCOUNTABILITIES/ KEY RESPONSIBILITIES

1. Market Research – Retail centric development predominantly. Would also include hospitality,

commercial developments, warehousing, residences, helping certain retail brands to enter macro

and micro.

Market Research- non operational assets : To undertake

-

City Analysis

-

Site / Project Analysis

-

Catchment Analysis (Demographics)

-

Retailer Trading Density Analysis

-

Competition Benchmarking

-

Best Use Analysis on the site / project

-

Feasibility Assumptions & Monitoring

-

Proposals, IM, Reports & Presentations

Market Research- Operational assets:

-

Catchment Analysis

-

HN1 – Data

-

Catchment Profiling –Demographics/ Psychographics (The candidate would be expected to be

hands on in the beginning – and later create a template for the local teamplate to follow for

periodic data update)

-

No of House hold

-

Income

-

Age

-

Occupation /Education

-

Understand the attitude/ loyalty -Tools/ Resource

-

Brand affinity

-

Shopping Habits

-

Cultural Influences

-

Understanding competitions and profiling the activations conducted by them

-

Problems/ Opportunities

a) Relative to Market

b) Relative to consumption

c) Relative to Centre/competition

d) Relative to retailers/ customers relationship

Development:

-

Business Development with Investors, Developers, Retailers & Landowners

-

Site / Project Analysis

-

Proposals & Presentations

-

Research Analysis

-

Design Development Process Management

-

Tenant Mix Process Management

General Business Development:

-

International Relationship Initiations (new partners, vendors, suppliers)3

-

Draw up project proposals

-

Engage with prospective clients for appointment closure

Managerial

1. Analytical abilities

2. Logical / practical / time conscious – able to plan and work to deadlines.

3. Good presentation skills

4. Ability to adhere to timetables and meet deadlines

5. Initiative, drive and judgement

6. Drive decision making

Behavioural

1. Good communication skills

2. Strong team player

3. Ability to work as a team as well as independently

4. Ability to handle confidential information

5. Integrity

6. POSITIONREQUIREMENTS

Level of Education

B.Arch

M. Arch- Urban Planning or any other relevant/equivalent field

Experience

5+ years of experience in research and business development

7. COMPETENCIES

Functional

MS Office- proficient in MS Power point and Excel

Deployment Oversight: Serve as the central point of contact for all financial solution

deployment activities, ensuring seamless execution and coordination.

● Monitoring and Tracking: Utilize project management tools and software to monitor the

progress of deployments, identifying any deviations from the planned timeline or scope.

● Issue Resolution: Proactively identify and address deployment issues and roadblocks,

collaborating with cross-functional teams to find timely solutions.

● Communication Hub: Facilitate clear and timely communication between internal

stakeholders and external clients regarding deployment status, updates, and

escalations.

● Risk Management: Assess deployment risks and develop mitigation strategies to

minimize disruptions and ensure successful project outcomes.

● Performance Analysis: Analyze deployment metrics and key performance indicators to

evaluate the efficiency and effectiveness of deployment processes, driving continuous

improvement.

● Documentation and Reporting: Maintain accurate records of deployment activities,

including timelines, milestones, issues, and resolutions. Generate regular reports for

management review.

● Stakeholder Engagement: Build strong relationships with key stakeholders, including

internal teams, clients, and third-party vendors, to foster collaboration and alignment

throughout the deployment process.

Desired Candidate Profiles:-

● Bachelor’s degree in Business Administration, Finance, Project Management, or a

related field. Advanced degree or certification is a plus.

● Proven experience in project management or deployment coordination roles, preferably

in the financial services or technology industry.

● Strong organizational skills with the ability to manage multiple projects simultaneously

and prioritize tasks effectively.

● Excellent communication and interpersonal skills, with the ability to convey complex

information clearly and concisely

• EDW/BI experience of 15+ years with at least 2-3 end to end EDW implementation experience as Solution or Technical program manager
• Must have at least ONE Azure Data Platform implementation experience as Solution or Technical Project manager (Azure, Databricks, ADF, PySpark)
• Must have technology experience in any of the ETL tools like Informatica, Datastage and etc.
• Excellent communication and presentation skills
• Should be well versed with project estimation, project planning, execution, tracking & monitoring
• Should be well versed with delivery metrics in Waterfall and/or Agile delivery models, scrum management
• Preferred to have technology experience of any of the BI tools like MicroStrategy, Tableau, Power BI and etc.

About HeyCoach:

We are an exceptional group of highly skilled individuals, passionate about addressing a fundamental challenge within the education industry. Our team consists of talented geeks who possess a deep understanding of the issues at hand and are dedicated to finding innovative solutions. In our quest for excellence, we are constantly seeking out remarkable individuals who can contribute to our growth and success.

Whether it's developing cutting-edge technologies, designing immersive learning experiences, or implementing groundbreaking teaching methodologies, we consistently strive for excellence.

Job Summary:

Are you a seasoned competitive programmer with a passion for mentoring and inspiring others? Do you have a knack for problem-solving and a drive to lead a community of aspiring coders to new heights? If so, we want you to join our team as a Competitive Programming Lead at HeyCoach!

Key Responsibilities:

• Mentorship and Training: Provide guidance and mentorship to aspiring competitive programmers, helping them enhance their problem-solving skills and algorithmic knowledge.
• Content Development: Create and curate high-quality programming challenges, tutorials, and resources tailored to various skill levels.
• Community Engagement: Foster a vibrant and inclusive community of programmers by organizing regular contests, webinars, and interactive sessions.
• Performance Tracking: Monitor and track the progress of participants, offering personalized feedback and strategies for improvement.
• Collaboration: Work closely with other team members to develop and implement innovative training programs and initiatives.
• Stay Updated: Keep abreast of the latest trends and advancements in competitive programming to ensure our training programs are cutting-edge.
• Team Management: Handle and support team members, ensuring they are aligned with the goals and objectives of our programs.

Qualifications:

• Proven experience in system design and competitive programming with a strong track record in major contests (e.g., Codeforces, LeetCode, TopCoder, etc.).
• Excellent problem-solving skills and a deep understanding of algorithms and data structures.
• Passion for teaching and mentoring aspiring programmers.
• Strong communication and interpersonal skills.
• Ability to create engaging and educational content.
• Self-motivated and able to work independently as well as part of a team.

About us:

Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.

About this role:

• You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
• As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
• You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
• You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
• You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.

Requirements:

• Strong engineering and Computer Science fundamentals

• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.

• Minimum 4+ years of relevant experience

• Well versed with programming in one of C/C++ languages

• Experience working in a Linux environment, developing applications or Linux drivers

• Proven experience in any of the below:

1. Network device drivers, operating system internals, Kernels, compilers, SOC architecture
2. Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
3. User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:

• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec

• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills

• Experience with Wi-Fi device drivers on Linux.

• Hands-on experience in working with one or more WIFI chipset platforms

• Good System Level understanding of the Wireless AP functionality

• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters

Resources:

• Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
• Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
• Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
• Additional information and resources can be found at https://www.arista.com/en/

• Design and implementation of low-latency, high-availability, and performant applications
• Developing new features & refining existing features on server-side
• Implementation of security and data protection
• Integration of data storage solutions

• Proficient in NodeJS and experience working on frameworks such as Express, StrongLoop, etc.
• 2+ years experience working on consumer mobile products / businesses at scale.
• Proficient in asynchronous programming and its quirks and workarounds
• Experience working on User Authentication and Authorisation between multiple systems, servers, and environments
• Experience working on NoSQL DBs such as MongoDB
• Experience working on Unit Testing & Functional Testing frameworks for NodeJS

• become a part of our early team, and shape products from grounds up
• Attractive Compensation & Stock Options
• empowered to build an amazing startup culture with us
• full ownership and massive growth opportunities
• and more...

What will be your role as Sales Rockstar at Hevo?

We are looking for an experienced Inside Sales professional to join our sales team. This is an opportunity for you to be a key part of building a successful business:

1. Manage End-to-End Sales process (Inbound Leads to Closure) for North American markets
2. Deliver quality and tailored demonstrations to prospects based on the use cases
3. Understand customer goals, plans, challenges, timeline, budget, authority
4. Meet or exceed your defined sales activity and revenue quota
5. Collaborate with cross-functional teams for timely resolution of prospect's queries
6. Strive to continuously improve your sales process and demonstrate a willingness to learn and implement best practices

What are we looking for?

1. 1 to 5 years of experience in End-to-End Sales/Business Development in SaaS/IT Product/IT Services organization in North American markets
2. Prior or current experience in managing end to end sales lifecycle i.e. Inbound Lead to Closure
3. Must have prior experience of managing sales/business development North American market
4. MBA (Sales and Marketing) or B.Tech in Computer Science / Information Technology (Preferred)